Triple

T8681533
Position Surface form Disambiguated ID Type / Status
Subject Hu E206049 entity
Predicate hasChineseCharacterForm P63661 FINISHED
Object
胡 is a common Chinese character used both as a surname and in various words, often historically associated with non-Han peoples or regions to the north and west of China.
E751161 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 胡 | Statement: [Hu, hasChineseCharacterForm, 胡]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 胡
Context triple: [Hu, hasChineseCharacterForm, 胡]
  • A.
    何 is a common Chinese surname and character used in East Asian languages, often associated with meanings like "what" or "how."
  • B.
    子 is an ancient Chinese clan surname historically associated with the royal lineage of the Shang dynasty.
  • C. Xu
    Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
  • D.
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • E. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 胡
Triple: [Hu, hasChineseCharacterForm, 胡]
Generated description
胡 is a common Chinese character used both as a surname and in various words, often historically associated with non-Han peoples or regions to the north and west of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 胡
Target entity description: 胡 is a common Chinese character used both as a surname and in various words, often historically associated with non-Han peoples or regions to the north and west of China.
  • A.
    何 is a common Chinese surname and character used in East Asian languages, often associated with meanings like "what" or "how."
  • B.
    子 is an ancient Chinese clan surname historically associated with the royal lineage of the Shang dynasty.
  • C. Xu
    Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
  • D.
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • E. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChineseCharacterForm
Context triple: [Hu, hasChineseCharacterForm, 胡]
  • A. hasTraditionalCharacter
    Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
  • B. correspondsToChineseCharacter chosen
    Indicates that one entity is the equivalent or representation of a specific Chinese written character.
  • C. hasChineseVersion
    Indicates that an entity has a corresponding version or representation available in Chinese.
  • D. hasHalfwidthForms
    Indicates that an entity has corresponding halfwidth character forms representing it.
  • E. characterUnicodeSimplified
    Indicates that one entity is the simplified-Unicode character form corresponding to another character entity.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
PD Predicate disambiguation batch_69cc4567b5c881908d9ec5dcfc783fac completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:32 p.m.